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陈亮

Liang Chen

@Guangzhou, China.

About me

Dr. Liang Chen is currently an Associate Professor at School of Computer Science and Engineering in Sun Yat-Sen University, Guang Zhou, China. He received a PhD and a Bachelor’s degree from Advanced Computing and System Laboratory (CCNT), College of Compter Science &Technology at Zhejiang University, China, respectively in 2015 and 2009. His research area includes Recommendation System, Graph Computing, Adversarial Learning, AI Security, and Service Computing. (Google Scholar)

Position Opening! Looking for Students with Research Passion!(Research Intern, Master, PhD.)

What’s new

  • [TOIS] 2021/06/03, My collaboration with researchers in Netease and Tsinghua on Graph Convolutional Network for Recommendation has been accepted.
  • [IJCAI-21] 2021/04/29, Our work on structural vulnerability of graph convolutional network has been accepted.
  • [IJCAI-21] 2021/04/29, My collaboration with researchers in HKU, UIUC, and Emory on secure graph generation has been accepted.
  • [TKDE] 2021/04/27, Our work on graph adversarial attack has been accepted.
  • [SIGIR-21] 2021/04/15, My collaboration with researchers in USTC,NUS, and MSRA on self-supervised graph leraning for recommendation has been accepted.
  • [SIGIR-21] 2021/04/15, My collaboration with researchers in USTC,Glasgow, and Alibaba on debias for recommendation has been accepted.
  • [ICSE-21] 2021/01/22, Our work on GNN benchmarking platform has been accepted.
  • [WWW-21] 2021/01/16, My collaboration with researchers in Tsinghua on GNN based recommendation has been accepted.
  • [AAAI-21] 2020/12/02, My collaboration with researchers in Netease on reinforcement learning for item recommendation has been accepted.
  • [TKDE] 2020/11/04, Our work on high-order social relationship modeling for item recommendation has been accepted.
  • [WSDM-21] 2020/10/16, Our work on dynamic HIN node embedding has been accepted.
  • [ICDE-21] 2020/08/12, Our work on dynamic HIN based sequential recommendation has been accepted.

Foundations

  • [NSFC] Heterogeneous Information Network based Service Discovery and Composition Research, National Natural Science Foundations of China, Principal Investigator, 2018 - 2020.
  • [NSFC] Key Technologies for Spatio-temporal Perspective and Big Data Fusion of Urban Geological Environment, Key Project of National Natural Science Foundations of China, Partnership Investigator, 2018 - 2021.

Latest Selected Publications

  • [SIGIR-20] Yang Liu, Xianzhuo Xia, Liang Chen*, Xiangnan He, Carl Yang, Zibin Zheng, “Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines”, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Research Paper, Xi’an, China, July 25-30, 2020, accepted.
  • [TOIT] Liang Chen, Jiaying Peng, Yang Liu, Jintang Li, Fenfang Xie, Zibin Zheng*, “Phishing Scams Detection in Ethereum Transaction Network”, ACM Transactions on Internet Technology, 2020, accepted.[Data]
  • [ECAI-20] Yang Liu, Jiaying Peng, Liang Chen*, Zibin Zheng, “Abstract Interpretation based Robustness Certification for Graph Convolutional Networks”, 24th European Conference on Artificial Intelligence, Full Paper, Santiago, Spain, June 8-12, 2020, accepted.[PDF]
  • [ECAI-20] Yangjun Xu, Liang Chen*, Fenfang Xie, Weibo Hu, Jieming Zhu, Chuan Chen, Zibin Zheng, “Directional Adversarial Training for Recommender Systems”, 24th European Conference on Artificial Intelligence, Full Paper, Santiago, Spain, June 8-12, 2020, accepted. [PDF]
  • [IJCAI-19] Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, and Zibin Zheng, “Matching User with Item Set: Collaborative Bundle Recommendation with Attention Network”, IEEE International Joint Conference on Artificial Intelligence, Macao, China, 2019, pp.2095-2101. [Code]